Measure what works. Improve care. Show your work.
Healthcare decisions are high-stakes and often based on convention rather than evidence. Decision Process helps clinical and operational teams run rigorous experiments on care pathways, workflows, and patient engagement — with an audit trail for every conclusion.
Experiment Templates
Ready-to-run experiments
Appointment Reminder Channel A/B
“SMS reminders reduce no-show rate more than email reminders.”
Conditions
- Email only (control)
- SMS only
- SMS + call
Metrics
- No-Show Rate (%)
- Patient Satisfaction (1–10)
Discharge Education Protocol
“Structured teach-back discharge education reduces 30-day readmissions.”
Conditions
- Standard discharge (control)
- Teach-back protocol
Metrics
- Readmission Rate (%)
- Patient Satisfaction (1–10)
- Treatment Adherence (%)
Chronic Disease Management Pathway
“Proactive care coordinator check-ins improve treatment adherence and outcomes.”
Conditions
- Reactive care (control)
- Proactive outreach
Metrics
- Treatment Adherence (%)
- Clinical Outcome Score (score)
- Cost per Episode (USD)
Wait Time Communication Test
“Real-time queue updates improve patient satisfaction during waits.”
Conditions
- No wait update (control)
- Live queue display
Metrics
- Patient Satisfaction (1–10)
- Adverse Event Rate (%)
Worked Example
SMS vs. email appointment reminders across 620 patients
A primary care network tests three reminder strategies for routine appointments: email only (48hr before), SMS only (24hr before), and SMS + automated call. 206–208 patients per arm, measured over a 12-week period.
Results: no_show_rate (%)
Email only (control)
mean: 18.3%
95% CI: 14.2–22.4
SMS only
mean: 11.7%
95% CI: 8.3–15.1
P(better) = 94%
SMS + call
mean: 8.9%
95% CI: 5.9–11.9
P(better) = 98%
SMS-only reminders reduce no-show rate by −6.6 percentage points vs. email (94% probability). Adding an automated call reduces it by −9.4 points (98% probability, d = −0.84, large effect). Recommendation: switch to SMS + call for all appointment types, prioritizing high-risk patients first.
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